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基于混合相关的Markov网络信息检索扩展模型
引用本文:甘丽新,涂伟,王明文,石松.基于混合相关的Markov网络信息检索扩展模型[J].中文信息学报,2013,27(4):83-89.
作者姓名:甘丽新  涂伟  王明文  石松
作者单位:1. 江西科技师范大学 光电子与通信重点实验室,江西 南昌 330038;
2. 江西师范大学 计算机信息工程学院,江西 南昌 330022;
3. 上海财经大学 公共经济与管理学院,上海 200093
基金项目:江西省教育厅科技资助项目,江西省自然科学基金资助项目,2011年江西省高校省级教改资助项目
摘    要:查询扩展是提高检索性能的有效方法。为了弥补在数据集中由于词对没有直接出现而导致无法统计出词间关系进行查询扩展的缺陷,该文通过提取Markov网络中的词团信息来量化词间的混合相关性,将强化后的词间混合相关性应用于信息检索扩展模型中。实验表明 基于混合相关的Markov网络信息检索扩展模型的检索效果优于基于直接相关的查询扩展模型;此外,该文提出的模型在总体检索性能上略优于基于团的Markov网络信息检索模型,但在词团提取上大大减少了计算开销。

关 键 词:混合相关  Markov网络  查询扩展  

Mixed Correlation Based Markov Network for Query Expansion in Information Retrieval
GAN Lixin , TU Wei , WANG Mingwen , SHI Song.Mixed Correlation Based Markov Network for Query Expansion in Information Retrieval[J].Journal of Chinese Information Processing,2013,27(4):83-89.
Authors:GAN Lixin  TU Wei  WANG Mingwen  SHI Song
Affiliation:1. Key Lab of Optic-electronic &Communication, Jiangxi Science & Technology Normal University,
Nanchang, Jiangxi 330038, China;
2. College of Computer Information Engineering, Jiangxi Normal University, Nanchang, Jiangxi 330022, China;
3. Department of Public Economics and Management, Shanghai University of Finance and Economics, Shanghai 200093,China
Abstract:Query expansion is effective to improve retrieval efficiency. In this paper, the mixed correlation between terms is quantized by term cliques which are obtained from Markov network, so as to solve the computation of the term relationship lack of cooccurence in corpus. The enhanced mixed correlation is then applied to query expansion. The experimental results show that the proposed method outperforms that based on direct correlation. In addition, the method is slightly better than a Markov network model based on cliques significantly reduces the computational overhead of term cliques.
Key wordsmixed correlation; Markov network; query expansion
Keywords:mixed correlation  Markov network  query expansion
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